Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 372 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 69.1 KiB |
| Average record size in memory | 190.3 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 8 |
| Boolean | 2 |
city has a high cardinality: 368 distinct values | High cardinality |
payment_due is highly overall correlated with gender and 8 other fields | High correlation |
prescription_cost is highly overall correlated with gender and 8 other fields | High correlation |
gender is highly overall correlated with payment_due and 1 other fields | High correlation |
state is highly overall correlated with payment_due and 1 other fields | High correlation |
has_insurance is highly overall correlated with payment_due and 1 other fields | High correlation |
visited_last_month is highly overall correlated with payment_due and 1 other fields | High correlation |
payment_method is highly overall correlated with payment_due and 1 other fields | High correlation |
preferred_doctor is highly overall correlated with payment_due and 1 other fields | High correlation |
disease_diagnosed is highly overall correlated with payment_due and 1 other fields | High correlation |
medication_prescribed is highly overall correlated with payment_due and 1 other fields | High correlation |
type_of_appointment is highly overall correlated with payment_due and 1 other fields | High correlation |
city is uniformly distributed | Uniform |
payment_due has unique values | Unique |
prescription_cost has unique values | Unique |
Reproduction
| Analysis started | 2023-09-21 02:36:55.161730 |
|---|---|
| Analysis finished | 2023-09-21 02:39:38.818434 |
| Duration | 2 minutes and 43.66 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
patient_age
Real number (ℝ)
| Distinct | 60 |
|---|---|
| Distinct (%) | 16.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 45.44086 |
| Minimum | 18 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 21.55 |
| Q1 | 36 |
| median | 45 |
| Q3 | 54.25 |
| 95-th percentile | 68 |
| Maximum | 90 |
| Range | 72 |
| Interquartile range (IQR) | 18.25 |
Descriptive statistics
| Standard deviation | 13.813515 |
|---|---|
| Coefficient of variation (CV) | 0.30398886 |
| Kurtosis | -0.0080718374 |
| Mean | 45.44086 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.10710029 |
| Sum | 16904 |
| Variance | 190.8132 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 54 | 20 | 5.4% |
| 18 | 14 | 3.8% |
| 42 | 14 | 3.8% |
| 50 | 13 | 3.5% |
| 43 | 13 | 3.5% |
| 38 | 12 | 3.2% |
| 40 | 12 | 3.2% |
| 53 | 11 | 3.0% |
| 58 | 10 | 2.7% |
| 39 | 10 | 2.7% |
| Other values (50) | 243 |
| Value | Count | Frequency (%) |
| 18 | 14 | |
| 19 | 2 | 0.5% |
| 20 | 2 | 0.5% |
| 21 | 1 | 0.3% |
| 22 | 2 | 0.5% |
| 23 | 4 | 1.1% |
| 24 | 6 | |
| 25 | 2 | 0.5% |
| 26 | 3 | 0.8% |
| 27 | 7 |
| Value | Count | Frequency (%) |
| 90 | 1 | 0.3% |
| 88 | 1 | 0.3% |
| 86 | 2 | 0.5% |
| 78 | 1 | 0.3% |
| 76 | 1 | 0.3% |
| 73 | 1 | 0.3% |
| 72 | 2 | 0.5% |
| 71 | 3 | |
| 69 | 5 | |
| 68 | 3 |
gender
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Female | |
|---|---|
| Other | |
| Male |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 5.0752688 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1888 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Female |
| 4th row | Male |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Female | 138 | |
| Other | 124 | |
| Male | 110 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| female | 138 | |
| other | 124 | |
| male | 110 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 510 | |
| a | 248 | |
| l | 248 | |
| F | 138 | 7.3% |
| m | 138 | 7.3% |
| O | 124 | 6.6% |
| t | 124 | 6.6% |
| h | 124 | 6.6% |
| r | 124 | 6.6% |
| M | 110 | 5.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1516 | |
| Uppercase Letter | 372 | 19.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 510 | |
| a | 248 | |
| l | 248 | |
| m | 138 | 9.1% |
| t | 124 | 8.2% |
| h | 124 | 8.2% |
| r | 124 | 8.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 138 | |
| O | 124 | |
| M | 110 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1888 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 510 | |
| a | 248 | |
| l | 248 | |
| F | 138 | 7.3% |
| m | 138 | 7.3% |
| O | 124 | 6.6% |
| t | 124 | 6.6% |
| h | 124 | 6.6% |
| r | 124 | 6.6% |
| M | 110 | 5.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1888 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 510 | |
| a | 248 | |
| l | 248 | |
| F | 138 | 7.3% |
| m | 138 | 7.3% |
| O | 124 | 6.6% |
| t | 124 | 6.6% |
| h | 124 | 6.6% |
| r | 124 | 6.6% |
| M | 110 | 5.8% |
city
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 368 |
|---|---|
| Distinct (%) | 98.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Port John | 2 |
|---|---|
| Port Jennifer | 2 |
| North Kelly | 2 |
| Smithchester | 2 |
| New Loganburgh | 1 |
| Other values (363) |
Length
| Max length | 20 |
|---|---|
| Median length | 17 |
| Mean length | 12.180108 |
| Min length | 6 |
Characters and Unicode
| Total characters | 4531 |
|---|---|
| Distinct characters | 49 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 364 ? |
|---|---|
| Unique (%) | 97.8% |
Sample
| 1st row | North Julieland |
|---|---|
| 2nd row | Emmatown |
| 3rd row | South Melissa |
| 4th row | Hamptontown |
| 5th row | North Sierraview |
Common Values
| Value | Count | Frequency (%) |
| Port John | 2 | 0.5% |
| Port Jennifer | 2 | 0.5% |
| North Kelly | 2 | 0.5% |
| Smithchester | 2 | 0.5% |
| New Loganburgh | 1 | 0.3% |
| Bryanchester | 1 | 0.3% |
| Douglasfort | 1 | 0.3% |
| West Allison | 1 | 0.3% |
| East Jamesport | 1 | 0.3% |
| West William | 1 | 0.3% |
| Other values (358) | 358 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| east | 31 | 5.5% |
| south | 30 | 5.3% |
| port | 26 | 4.6% |
| lake | 26 | 4.6% |
| west | 26 | 4.6% |
| new | 26 | 4.6% |
| north | 24 | 4.3% |
| john | 6 | 1.1% |
| johnshire | 2 | 0.4% |
| richard | 2 | 0.4% |
| Other values (347) | 362 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 419 | 9.2% |
| t | 377 | 8.3% |
| a | 369 | 8.1% |
| r | 363 | 8.0% |
| o | 297 | 6.6% |
| n | 257 | 5.7% |
| h | 250 | 5.5% |
| s | 229 | 5.1% |
| i | 226 | 5.0% |
| 189 | 4.2% | |
| Other values (39) | 1555 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3781 | |
| Uppercase Letter | 561 | 12.4% |
| Space Separator | 189 | 4.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 419 | |
| t | 377 | |
| a | 369 | |
| r | 363 | |
| o | 297 | 7.9% |
| n | 257 | 6.8% |
| h | 250 | 6.6% |
| s | 229 | 6.1% |
| i | 226 | 6.0% |
| u | 156 | 4.1% |
| Other values (16) | 838 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 67 | |
| N | 60 | |
| J | 54 | |
| W | 50 | |
| E | 47 | 8.4% |
| L | 39 | 7.0% |
| P | 37 | 6.6% |
| M | 36 | 6.4% |
| C | 25 | 4.5% |
| A | 23 | 4.1% |
| Other values (12) | 123 |
Space Separator
| Value | Count | Frequency (%) |
| 189 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4342 | |
| Common | 189 | 4.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 419 | 9.6% |
| t | 377 | 8.7% |
| a | 369 | 8.5% |
| r | 363 | 8.4% |
| o | 297 | 6.8% |
| n | 257 | 5.9% |
| h | 250 | 5.8% |
| s | 229 | 5.3% |
| i | 226 | 5.2% |
| u | 156 | 3.6% |
| Other values (38) | 1399 |
Common
| Value | Count | Frequency (%) |
| 189 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4531 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 419 | 9.2% |
| t | 377 | 8.3% |
| a | 369 | 8.1% |
| r | 363 | 8.0% |
| o | 297 | 6.6% |
| n | 257 | 5.7% |
| h | 250 | 5.5% |
| s | 229 | 5.1% |
| i | 226 | 5.0% |
| 189 | 4.2% | |
| Other values (39) | 1555 |
state
Categorical
| Distinct | 50 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Vermont | 16 |
|---|---|
| Connecticut | 15 |
| Texas | 14 |
| Pennsylvania | 12 |
| Indiana | 11 |
| Other values (45) |
Length
| Max length | 14 |
|---|---|
| Median length | 12 |
| Mean length | 8.4596774 |
| Min length | 4 |
Characters and Unicode
| Total characters | 3147 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Vermont |
|---|---|
| 2nd row | Connecticut |
| 3rd row | Oregon |
| 4th row | North Dakota |
| 5th row | Maryland |
Common Values
| Value | Count | Frequency (%) |
| Vermont | 16 | 4.3% |
| Connecticut | 15 | 4.0% |
| Texas | 14 | 3.8% |
| Pennsylvania | 12 | 3.2% |
| Indiana | 11 | 3.0% |
| Arizona | 11 | 3.0% |
| Kansas | 10 | 2.7% |
| North Dakota | 10 | 2.7% |
| Colorado | 10 | 2.7% |
| South Dakota | 10 | 2.7% |
| Other values (40) | 253 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| new | 23 | 5.2% |
| dakota | 20 | 4.5% |
| north | 19 | 4.3% |
| south | 18 | 4.0% |
| carolina | 17 | 3.8% |
| vermont | 16 | 3.6% |
| connecticut | 15 | 3.4% |
| texas | 14 | 3.1% |
| virginia | 14 | 3.1% |
| pennsylvania | 12 | 2.7% |
| Other values (42) | 277 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 424 | |
| i | 278 | 8.8% |
| n | 278 | 8.8% |
| o | 260 | 8.3% |
| s | 205 | 6.5% |
| e | 203 | 6.5% |
| r | 168 | 5.3% |
| t | 147 | 4.7% |
| l | 97 | 3.1% |
| h | 89 | 2.8% |
| Other values (36) | 998 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2629 | |
| Uppercase Letter | 445 | 14.1% |
| Space Separator | 73 | 2.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 424 | |
| i | 278 | |
| n | 278 | |
| o | 260 | |
| s | 205 | |
| e | 203 | |
| r | 168 | 6.4% |
| t | 147 | 5.6% |
| l | 97 | 3.7% |
| h | 89 | 3.4% |
| Other values (14) | 480 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 60 | |
| N | 56 | |
| C | 49 | |
| I | 34 | 7.6% |
| V | 30 | 6.7% |
| A | 29 | 6.5% |
| D | 25 | 5.6% |
| O | 22 | 4.9% |
| W | 21 | 4.7% |
| T | 19 | 4.3% |
| Other values (11) | 100 |
Space Separator
| Value | Count | Frequency (%) |
| 73 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3074 | |
| Common | 73 | 2.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 424 | |
| i | 278 | 9.0% |
| n | 278 | 9.0% |
| o | 260 | 8.5% |
| s | 205 | 6.7% |
| e | 203 | 6.6% |
| r | 168 | 5.5% |
| t | 147 | 4.8% |
| l | 97 | 3.2% |
| h | 89 | 2.9% |
| Other values (35) | 925 |
Common
| Value | Count | Frequency (%) |
| 73 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3147 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 424 | |
| i | 278 | 8.8% |
| n | 278 | 8.8% |
| o | 260 | 8.3% |
| s | 205 | 6.5% |
| e | 203 | 6.5% |
| r | 168 | 5.3% |
| t | 147 | 4.7% |
| l | 97 | 3.1% |
| h | 89 | 2.8% |
| Other values (36) | 998 |
has_insurance
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.3 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 186 | |
| False | 186 |
visited_last_month
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.3 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 203 | |
| False | 169 |
payment_method
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Insurance | |
|---|---|
| Cash | |
| Card |
Length
| Max length | 9 |
|---|---|
| Median length | 4 |
| Mean length | 5.7204301 |
| Min length | 4 |
Characters and Unicode
| Total characters | 2128 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Cash |
|---|---|
| 2nd row | Card |
| 3rd row | Cash |
| 4th row | Card |
| 5th row | Insurance |
Common Values
| Value | Count | Frequency (%) |
| Insurance | 128 | |
| Cash | 127 | |
| Card | 117 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| insurance | 128 | |
| cash | 127 | |
| card | 117 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 372 | |
| n | 256 | |
| s | 255 | |
| r | 245 | |
| C | 244 | |
| I | 128 | 6.0% |
| u | 128 | 6.0% |
| c | 128 | 6.0% |
| e | 128 | 6.0% |
| h | 127 | 6.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1756 | |
| Uppercase Letter | 372 | 17.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 372 | |
| n | 256 | |
| s | 255 | |
| r | 245 | |
| u | 128 | 7.3% |
| c | 128 | 7.3% |
| e | 128 | 7.3% |
| h | 127 | 7.2% |
| d | 117 | 6.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 244 | |
| I | 128 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2128 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 372 | |
| n | 256 | |
| s | 255 | |
| r | 245 | |
| C | 244 | |
| I | 128 | 6.0% |
| u | 128 | 6.0% |
| c | 128 | 6.0% |
| e | 128 | 6.0% |
| h | 127 | 6.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2128 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 372 | |
| n | 256 | |
| s | 255 | |
| r | 245 | |
| C | 244 | |
| I | 128 | 6.0% |
| u | 128 | 6.0% |
| c | 128 | 6.0% |
| e | 128 | 6.0% |
| h | 127 | 6.0% |
preferred_doctor
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Dr. Williams | |
|---|---|
| Dr. Brown | |
| Dr. Smith | |
| Dr. Jones | |
| Dr. Johnson |
Length
| Max length | 12 |
|---|---|
| Median length | 9 |
| Mean length | 10 |
| Min length | 9 |
Characters and Unicode
| Total characters | 3720 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Dr. Johnson |
|---|---|
| 2nd row | Dr. Williams |
| 3rd row | Dr. Brown |
| 4th row | Dr. Brown |
| 5th row | Dr. Brown |
Common Values
| Value | Count | Frequency (%) |
| Dr. Williams | 84 | |
| Dr. Brown | 84 | |
| Dr. Smith | 74 | |
| Dr. Jones | 70 | |
| Dr. Johnson | 60 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| dr | 372 | |
| williams | 84 | 11.3% |
| brown | 84 | 11.3% |
| smith | 74 | 9.9% |
| jones | 70 | 9.4% |
| johnson | 60 | 8.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 456 | |
| D | 372 | |
| . | 372 | |
| 372 | ||
| n | 274 | 7.4% |
| o | 274 | 7.4% |
| i | 242 | 6.5% |
| s | 214 | 5.8% |
| l | 168 | 4.5% |
| m | 158 | 4.2% |
| Other values (9) | 818 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2232 | |
| Uppercase Letter | 744 | 20.0% |
| Other Punctuation | 372 | 10.0% |
| Space Separator | 372 | 10.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 456 | |
| n | 274 | |
| o | 274 | |
| i | 242 | |
| s | 214 | |
| l | 168 | 7.5% |
| m | 158 | 7.1% |
| h | 134 | 6.0% |
| a | 84 | 3.8% |
| w | 84 | 3.8% |
| Other values (2) | 144 | 6.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 372 | |
| J | 130 | 17.5% |
| B | 84 | 11.3% |
| W | 84 | 11.3% |
| S | 74 | 9.9% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 372 |
Space Separator
| Value | Count | Frequency (%) |
| 372 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2976 | |
| Common | 744 | 20.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 456 | |
| D | 372 | |
| n | 274 | |
| o | 274 | |
| i | 242 | |
| s | 214 | 7.2% |
| l | 168 | 5.6% |
| m | 158 | 5.3% |
| h | 134 | 4.5% |
| J | 130 | 4.4% |
| Other values (7) | 554 |
Common
| Value | Count | Frequency (%) |
| . | 372 | |
| 372 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3720 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 456 | |
| D | 372 | |
| . | 372 | |
| 372 | ||
| n | 274 | 7.4% |
| o | 274 | 7.4% |
| i | 242 | 6.5% |
| s | 214 | 5.8% |
| l | 168 | 4.5% |
| m | 158 | 4.2% |
| Other values (9) | 818 |
disease_diagnosed
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Flu | |
|---|---|
| None | |
| Allergy | |
| Covid-19 | |
| Cold |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 5.1397849 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1912 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | None |
|---|---|
| 2nd row | Flu |
| 3rd row | Covid-19 |
| 4th row | Cold |
| 5th row | Covid-19 |
Common Values
| Value | Count | Frequency (%) |
| Flu | 82 | |
| None | 77 | |
| Allergy | 74 | |
| Covid-19 | 71 | |
| Cold | 68 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| flu | 82 | |
| none | 77 | |
| allergy | 74 | |
| covid-19 | 71 | |
| cold | 68 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 298 | |
| o | 216 | 11.3% |
| e | 151 | 7.9% |
| d | 139 | 7.3% |
| C | 139 | 7.3% |
| F | 82 | 4.3% |
| u | 82 | 4.3% |
| N | 77 | 4.0% |
| n | 77 | 4.0% |
| y | 74 | 3.9% |
| Other values (8) | 577 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1327 | |
| Uppercase Letter | 372 | 19.5% |
| Decimal Number | 142 | 7.4% |
| Dash Punctuation | 71 | 3.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 298 | |
| o | 216 | |
| e | 151 | |
| d | 139 | |
| u | 82 | 6.2% |
| n | 77 | 5.8% |
| y | 74 | 5.6% |
| g | 74 | 5.6% |
| r | 74 | 5.6% |
| v | 71 | 5.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 139 | |
| F | 82 | |
| N | 77 | |
| A | 74 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 71 | |
| 9 | 71 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 71 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1699 | |
| Common | 213 | 11.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 298 | |
| o | 216 | |
| e | 151 | |
| d | 139 | 8.2% |
| C | 139 | 8.2% |
| F | 82 | 4.8% |
| u | 82 | 4.8% |
| N | 77 | 4.5% |
| n | 77 | 4.5% |
| y | 74 | 4.4% |
| Other values (5) | 364 |
Common
| Value | Count | Frequency (%) |
| - | 71 | |
| 1 | 71 | |
| 9 | 71 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1912 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 298 | |
| o | 216 | 11.3% |
| e | 151 | 7.9% |
| d | 139 | 7.3% |
| C | 139 | 7.3% |
| F | 82 | 4.3% |
| u | 82 | 4.3% |
| N | 77 | 4.0% |
| n | 77 | 4.0% |
| y | 74 | 3.9% |
| Other values (8) | 577 |
medication_prescribed
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Med_B | |
|---|---|
| Med_A | |
| Med_E | |
| Med_C | |
| Med_D |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 1860 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Med_B |
|---|---|
| 2nd row | Med_A |
| 3rd row | Med_B |
| 4th row | Med_C |
| 5th row | Med_D |
Common Values
| Value | Count | Frequency (%) |
| Med_B | 91 | |
| Med_A | 76 | |
| Med_E | 75 | |
| Med_C | 68 | |
| Med_D | 62 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| med_b | 91 | |
| med_a | 76 | |
| med_e | 75 | |
| med_c | 68 | |
| med_d | 62 |
Most occurring characters
| Value | Count | Frequency (%) |
| M | 372 | |
| e | 372 | |
| d | 372 | |
| _ | 372 | |
| B | 91 | 4.9% |
| A | 76 | 4.1% |
| E | 75 | 4.0% |
| C | 68 | 3.7% |
| D | 62 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 744 | |
| Lowercase Letter | 744 | |
| Connector Punctuation | 372 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 372 | |
| B | 91 | 12.2% |
| A | 76 | 10.2% |
| E | 75 | 10.1% |
| C | 68 | 9.1% |
| D | 62 | 8.3% |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 372 | |
| d | 372 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 372 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1488 | |
| Common | 372 | 20.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| M | 372 | |
| e | 372 | |
| d | 372 | |
| B | 91 | 6.1% |
| A | 76 | 5.1% |
| E | 75 | 5.0% |
| C | 68 | 4.6% |
| D | 62 | 4.2% |
Common
| Value | Count | Frequency (%) |
| _ | 372 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1860 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| M | 372 | |
| e | 372 | |
| d | 372 | |
| _ | 372 | |
| B | 91 | 4.9% |
| A | 76 | 4.1% |
| E | 75 | 4.0% |
| C | 68 | 3.7% |
| D | 62 | 3.3% |
type_of_appointment
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.8 KiB |
| Follow-Up | |
|---|---|
| Emergency | |
| General | |
| Specialist |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 8.6962366 |
| Min length | 7 |
Characters and Unicode
| Total characters | 3235 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Emergency |
|---|---|
| 2nd row | Emergency |
| 3rd row | General |
| 4th row | Follow-Up |
| 5th row | Follow-Up |
Common Values
| Value | Count | Frequency (%) |
| Follow-Up | 101 | |
| Emergency | 99 | |
| General | 95 | |
| Specialist | 77 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| follow-up | 101 | |
| emergency | 99 | |
| general | 95 | |
| specialist | 77 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 465 | |
| l | 374 | 11.6% |
| o | 202 | 6.2% |
| r | 194 | 6.0% |
| n | 194 | 6.0% |
| p | 178 | 5.5% |
| c | 176 | 5.4% |
| a | 172 | 5.3% |
| i | 154 | 4.8% |
| F | 101 | 3.1% |
| Other values (11) | 1025 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2661 | |
| Uppercase Letter | 473 | 14.6% |
| Dash Punctuation | 101 | 3.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 465 | |
| l | 374 | |
| o | 202 | |
| r | 194 | |
| n | 194 | |
| p | 178 | 6.7% |
| c | 176 | 6.6% |
| a | 172 | 6.5% |
| i | 154 | 5.8% |
| w | 101 | 3.8% |
| Other values (5) | 451 |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 101 | |
| U | 101 | |
| E | 99 | |
| G | 95 | |
| S | 77 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 101 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3134 | |
| Common | 101 | 3.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 465 | |
| l | 374 | |
| o | 202 | 6.4% |
| r | 194 | 6.2% |
| n | 194 | 6.2% |
| p | 178 | 5.7% |
| c | 176 | 5.6% |
| a | 172 | 5.5% |
| i | 154 | 4.9% |
| F | 101 | 3.2% |
| Other values (10) | 924 |
Common
| Value | Count | Frequency (%) |
| - | 101 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3235 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 465 | |
| l | 374 | 11.6% |
| o | 202 | 6.2% |
| r | 194 | 6.0% |
| n | 194 | 6.0% |
| p | 178 | 5.5% |
| c | 176 | 5.4% |
| a | 172 | 5.3% |
| i | 154 | 4.8% |
| F | 101 | 3.1% |
| Other values (11) | 1025 |
average_hr
Real number (ℝ)
| Distinct | 51 |
|---|---|
| Distinct (%) | 13.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 79.392473 |
| Minimum | 53 |
|---|---|
| Maximum | 109 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 53 |
|---|---|
| 5-th percentile | 65 |
| Q1 | 72 |
| median | 80 |
| Q3 | 86 |
| 95-th percentile | 96 |
| Maximum | 109 |
| Range | 56 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 9.8826946 |
|---|---|
| Coefficient of variation (CV) | 0.12447899 |
| Kurtosis | -0.24845476 |
| Mean | 79.392473 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.1414715 |
| Sum | 29534 |
| Variance | 97.667652 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 86 | 19 | 5.1% |
| 80 | 17 | 4.6% |
| 68 | 16 | 4.3% |
| 82 | 16 | 4.3% |
| 73 | 14 | 3.8% |
| 81 | 14 | 3.8% |
| 78 | 14 | 3.8% |
| 79 | 14 | 3.8% |
| 75 | 14 | 3.8% |
| 85 | 14 | 3.8% |
| Other values (41) | 220 |
| Value | Count | Frequency (%) |
| 53 | 1 | 0.3% |
| 55 | 1 | 0.3% |
| 56 | 2 | |
| 57 | 1 | 0.3% |
| 59 | 1 | 0.3% |
| 60 | 1 | 0.3% |
| 61 | 1 | 0.3% |
| 62 | 1 | 0.3% |
| 63 | 3 | |
| 64 | 2 |
| Value | Count | Frequency (%) |
| 109 | 1 | 0.3% |
| 108 | 1 | 0.3% |
| 105 | 1 | 0.3% |
| 103 | 1 | 0.3% |
| 102 | 1 | 0.3% |
| 100 | 2 | 0.5% |
| 99 | 2 | 0.5% |
| 98 | 4 | |
| 97 | 3 | 0.8% |
| 96 | 8 |
average_bp
Real number (ℝ)
| Distinct | 56 |
|---|---|
| Distinct (%) | 15.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 109.50538 |
| Minimum | 80 |
|---|---|
| Maximum | 140 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 80 |
|---|---|
| 5-th percentile | 84 |
| Q1 | 98 |
| median | 111 |
| Q3 | 120 |
| 95-th percentile | 133 |
| Maximum | 140 |
| Range | 60 |
| Interquartile range (IQR) | 22 |
Descriptive statistics
| Standard deviation | 14.523611 |
|---|---|
| Coefficient of variation (CV) | 0.13262921 |
| Kurtosis | -0.56650491 |
| Mean | 109.50538 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.071494313 |
| Sum | 40736 |
| Variance | 210.93528 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 111 | 14 | 3.8% |
| 112 | 12 | 3.2% |
| 102 | 12 | 3.2% |
| 106 | 12 | 3.2% |
| 119 | 12 | 3.2% |
| 98 | 12 | 3.2% |
| 80 | 12 | 3.2% |
| 94 | 11 | 3.0% |
| 115 | 11 | 3.0% |
| 120 | 11 | 3.0% |
| Other values (46) | 253 |
| Value | Count | Frequency (%) |
| 80 | 12 | |
| 81 | 3 | 0.8% |
| 83 | 3 | 0.8% |
| 84 | 4 | 1.1% |
| 85 | 3 | 0.8% |
| 87 | 6 | |
| 88 | 1 | 0.3% |
| 89 | 3 | 0.8% |
| 90 | 5 | |
| 91 | 4 | 1.1% |
| Value | Count | Frequency (%) |
| 140 | 10 | |
| 138 | 1 | 0.3% |
| 137 | 1 | 0.3% |
| 135 | 1 | 0.3% |
| 134 | 5 | |
| 133 | 3 | 0.8% |
| 132 | 2 | 0.5% |
| 131 | 2 | 0.5% |
| 130 | 5 | |
| 129 | 6 |
height_in_cm
Real number (ℝ)
| Distinct | 50 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 175.14785 |
| Minimum | 145 |
|---|---|
| Maximum | 203 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 145 |
|---|---|
| 5-th percentile | 157.55 |
| Q1 | 168.75 |
| median | 176 |
| Q3 | 181.25 |
| 95-th percentile | 190.45 |
| Maximum | 203 |
| Range | 58 |
| Interquartile range (IQR) | 12.5 |
Descriptive statistics
| Standard deviation | 9.8088013 |
|---|---|
| Coefficient of variation (CV) | 0.056002979 |
| Kurtosis | 0.1402427 |
| Mean | 175.14785 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.093103794 |
| Sum | 65155 |
| Variance | 96.212583 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 177 | 21 | 5.6% |
| 180 | 18 | 4.8% |
| 176 | 17 | 4.6% |
| 174 | 17 | 4.6% |
| 175 | 17 | 4.6% |
| 182 | 16 | 4.3% |
| 178 | 15 | 4.0% |
| 170 | 14 | 3.8% |
| 171 | 13 | 3.5% |
| 167 | 13 | 3.5% |
| Other values (40) | 211 |
| Value | Count | Frequency (%) |
| 145 | 1 | 0.3% |
| 148 | 2 | 0.5% |
| 152 | 1 | 0.3% |
| 153 | 1 | 0.3% |
| 154 | 1 | 0.3% |
| 155 | 4 | |
| 156 | 3 | |
| 157 | 6 | |
| 158 | 1 | 0.3% |
| 159 | 5 |
| Value | Count | Frequency (%) |
| 203 | 1 | 0.3% |
| 202 | 1 | 0.3% |
| 199 | 3 | |
| 197 | 2 | 0.5% |
| 196 | 2 | 0.5% |
| 195 | 2 | 0.5% |
| 193 | 1 | 0.3% |
| 192 | 3 | |
| 191 | 4 | |
| 190 | 6 |
weight_in_kg
Real number (ℝ)
| Distinct | 65 |
|---|---|
| Distinct (%) | 17.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 68.873656 |
| Minimum | 40 |
|---|---|
| Maximum | 121 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 45 |
| Q1 | 59 |
| median | 68 |
| Q3 | 79 |
| 95-th percentile | 93.45 |
| Maximum | 121 |
| Range | 81 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 14.840306 |
|---|---|
| Coefficient of variation (CV) | 0.21547144 |
| Kurtosis | 0.045379897 |
| Mean | 68.873656 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.30049731 |
| Sum | 25621 |
| Variance | 220.23467 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 71 | 15 | 4.0% |
| 64 | 14 | 3.8% |
| 77 | 12 | 3.2% |
| 61 | 12 | 3.2% |
| 62 | 11 | 3.0% |
| 72 | 11 | 3.0% |
| 67 | 11 | 3.0% |
| 79 | 10 | 2.7% |
| 73 | 10 | 2.7% |
| 63 | 9 | 2.4% |
| Other values (55) | 257 |
| Value | Count | Frequency (%) |
| 40 | 9 | |
| 41 | 1 | 0.3% |
| 42 | 3 | 0.8% |
| 43 | 3 | 0.8% |
| 44 | 1 | 0.3% |
| 45 | 4 | |
| 46 | 2 | 0.5% |
| 47 | 3 | 0.8% |
| 48 | 6 | |
| 49 | 5 |
| Value | Count | Frequency (%) |
| 121 | 1 | 0.3% |
| 117 | 1 | 0.3% |
| 116 | 1 | 0.3% |
| 106 | 1 | 0.3% |
| 103 | 1 | 0.3% |
| 102 | 1 | 0.3% |
| 98 | 3 | |
| 97 | 2 | |
| 96 | 1 | 0.3% |
| 95 | 3 |
payment_due
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 372 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 236.09607 |
| Minimum | 0.38914482 |
|---|---|
| Maximum | 498.65548 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 0.38914482 |
|---|---|
| 5-th percentile | 21.070523 |
| Q1 | 118.13867 |
| median | 223.06945 |
| Q3 | 364.37596 |
| 95-th percentile | 459.6294 |
| Maximum | 498.65548 |
| Range | 498.26634 |
| Interquartile range (IQR) | 246.23729 |
Descriptive statistics
| Standard deviation | 141.75128 |
|---|---|
| Coefficient of variation (CV) | 0.6003966 |
| Kurtosis | -1.2132466 |
| Mean | 236.09607 |
| Median Absolute Deviation (MAD) | 125.23134 |
| Skewness | 0.08473766 |
| Sum | 87827.738 |
| Variance | 20093.424 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 398.8645542 | 1 | 0.3% |
| 420.7554201 | 1 | 0.3% |
| 325.5208658 | 1 | 0.3% |
| 87.00095261 | 1 | 0.3% |
| 412.0131909 | 1 | 0.3% |
| 374.728007 | 1 | 0.3% |
| 182.9064334 | 1 | 0.3% |
| 127.594015 | 1 | 0.3% |
| 222.7036814 | 1 | 0.3% |
| 50.14507542 | 1 | 0.3% |
| Other values (362) | 362 |
| Value | Count | Frequency (%) |
| 0.3891448186 | 1 | |
| 1.319490218 | 1 | |
| 3.189995928 | 1 | |
| 3.687843809 | 1 | |
| 4.351235352 | 1 | |
| 4.474588272 | 1 | |
| 6.340851865 | 1 | |
| 8.071181933 | 1 | |
| 8.699954781 | 1 | |
| 12.34008468 | 1 |
| Value | Count | Frequency (%) |
| 498.6554824 | 1 | |
| 497.6031973 | 1 | |
| 497.526513 | 1 | |
| 495.4944651 | 1 | |
| 495.21366 | 1 | |
| 489.8539183 | 1 | |
| 489.3164132 | 1 | |
| 488.0457528 | 1 | |
| 487.809257 | 1 | |
| 485.2359077 | 1 |
last_visit_in_days_ago
Real number (ℝ)
| Distinct | 51 |
|---|---|
| Distinct (%) | 13.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 182.79301 |
| Minimum | 156 |
|---|---|
| Maximum | 211 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 156 |
|---|---|
| 5-th percentile | 166 |
| Q1 | 176.75 |
| median | 183 |
| Q3 | 189 |
| 95-th percentile | 198 |
| Maximum | 211 |
| Range | 55 |
| Interquartile range (IQR) | 12.25 |
Descriptive statistics
| Standard deviation | 9.8145969 |
|---|---|
| Coefficient of variation (CV) | 0.053692408 |
| Kurtosis | 0.054142248 |
| Mean | 182.79301 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.10224224 |
| Sum | 67999 |
| Variance | 96.326312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 187 | 21 | 5.6% |
| 185 | 21 | 5.6% |
| 182 | 17 | 4.6% |
| 180 | 16 | 4.3% |
| 181 | 15 | 4.0% |
| 175 | 15 | 4.0% |
| 183 | 14 | 3.8% |
| 190 | 14 | 3.8% |
| 184 | 14 | 3.8% |
| 178 | 14 | 3.8% |
| Other values (41) | 211 |
| Value | Count | Frequency (%) |
| 156 | 2 | |
| 157 | 2 | |
| 160 | 2 | |
| 161 | 3 | |
| 162 | 2 | |
| 163 | 2 | |
| 164 | 1 | 0.3% |
| 165 | 2 | |
| 166 | 4 | |
| 167 | 3 |
| Value | Count | Frequency (%) |
| 211 | 1 | 0.3% |
| 208 | 2 | 0.5% |
| 207 | 1 | 0.3% |
| 206 | 1 | 0.3% |
| 205 | 1 | 0.3% |
| 204 | 1 | 0.3% |
| 202 | 1 | 0.3% |
| 201 | 1 | 0.3% |
| 200 | 5 | |
| 199 | 4 |
visit_duration_in_mins
Real number (ℝ)
| Distinct | 109 |
|---|---|
| Distinct (%) | 29.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 64.782258 |
| Minimum | 10 |
|---|---|
| Maximum | 120 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 16 |
| Q1 | 39 |
| median | 64.5 |
| Q3 | 91 |
| 95-th percentile | 114 |
| Maximum | 120 |
| Range | 110 |
| Interquartile range (IQR) | 52 |
Descriptive statistics
| Standard deviation | 31.579761 |
|---|---|
| Coefficient of variation (CV) | 0.48747546 |
| Kurtosis | -1.1861425 |
| Mean | 64.782258 |
| Median Absolute Deviation (MAD) | 26.5 |
| Skewness | -0.0089511652 |
| Sum | 24099 |
| Variance | 997.2813 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 88 | 10 | 2.7% |
| 19 | 9 | 2.4% |
| 48 | 8 | 2.2% |
| 101 | 7 | 1.9% |
| 84 | 6 | 1.6% |
| 82 | 6 | 1.6% |
| 40 | 6 | 1.6% |
| 26 | 6 | 1.6% |
| 91 | 6 | 1.6% |
| 60 | 6 | 1.6% |
| Other values (99) | 302 |
| Value | Count | Frequency (%) |
| 10 | 4 | |
| 11 | 3 | 0.8% |
| 12 | 1 | 0.3% |
| 13 | 2 | 0.5% |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 3 | 0.8% |
| 17 | 2 | 0.5% |
| 18 | 2 | 0.5% |
| 19 | 9 |
| Value | Count | Frequency (%) |
| 120 | 1 | 0.3% |
| 119 | 4 | |
| 118 | 3 | |
| 117 | 2 | |
| 116 | 4 | |
| 115 | 3 | |
| 114 | 3 | |
| 113 | 3 | |
| 112 | 3 | |
| 111 | 4 |
number_of_tests
Real number (ℝ)
| Distinct | 9 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.905914 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 3 |
| Zeros (%) | 0.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.4827917 |
|---|---|
| Coefficient of variation (CV) | 0.37962732 |
| Kurtosis | -0.40204417 |
| Mean | 3.905914 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.13262424 |
| Sum | 1453 |
| Variance | 2.1986711 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 3 | 93 | |
| 4 | 91 | |
| 5 | 63 | |
| 2 | 52 | |
| 6 | 46 | |
| 7 | 14 | 3.8% |
| 1 | 9 | 2.4% |
| 0 | 3 | 0.8% |
| 8 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 3 | 0.8% |
| 1 | 9 | 2.4% |
| 2 | 52 | |
| 3 | 93 | |
| 4 | 91 | |
| 5 | 63 | |
| 6 | 46 | |
| 7 | 14 | 3.8% |
| 8 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 8 | 1 | 0.3% |
| 7 | 14 | 3.8% |
| 6 | 46 | |
| 5 | 63 | |
| 4 | 91 | |
| 3 | 93 | |
| 2 | 52 | |
| 1 | 9 | 2.4% |
| 0 | 3 | 0.8% |
prescription_cost
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 372 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75.27917 |
| Minimum | 0.24991804 |
|---|---|
| Maximum | 149.79339 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 0.24991804 |
|---|---|
| 5-th percentile | 7.8828516 |
| Q1 | 39.326767 |
| median | 75.10454 |
| Q3 | 113.05378 |
| 95-th percentile | 144.39906 |
| Maximum | 149.79339 |
| Range | 149.54347 |
| Interquartile range (IQR) | 73.727011 |
Descriptive statistics
| Standard deviation | 43.450962 |
|---|---|
| Coefficient of variation (CV) | 0.57719768 |
| Kurtosis | -1.1666976 |
| Mean | 75.27917 |
| Median Absolute Deviation (MAD) | 35.928194 |
| Skewness | 0.075936654 |
| Sum | 28003.851 |
| Variance | 1887.9861 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 108.4286367 | 1 | 0.3% |
| 65.16710059 | 1 | 0.3% |
| 142.2302585 | 1 | 0.3% |
| 148.5703214 | 1 | 0.3% |
| 148.1884066 | 1 | 0.3% |
| 145.4074398 | 1 | 0.3% |
| 130.3115099 | 1 | 0.3% |
| 139.151571 | 1 | 0.3% |
| 133.9764729 | 1 | 0.3% |
| 85.95884401 | 1 | 0.3% |
| Other values (362) | 362 |
| Value | Count | Frequency (%) |
| 0.2499180382 | 1 | |
| 0.9410101173 | 1 | |
| 1.202730798 | 1 | |
| 1.581152692 | 1 | |
| 2.206510214 | 1 | |
| 2.81136417 | 1 | |
| 3.011295125 | 1 | |
| 3.166317014 | 1 | |
| 3.484386493 | 1 | |
| 3.720028316 | 1 |
| Value | Count | Frequency (%) |
| 149.7933882 | 1 | |
| 149.7512547 | 1 | |
| 149.3492572 | 1 | |
| 149.3148247 | 1 | |
| 149.1745741 | 1 | |
| 148.5703214 | 1 | |
| 148.3228537 | 1 | |
| 148.2026554 | 1 | |
| 148.1884066 | 1 | |
| 148.0561967 | 1 |
| patient_age | average_hr | average_bp | height_in_cm | weight_in_kg | payment_due | last_visit_in_days_ago | visit_duration_in_mins | number_of_tests | prescription_cost | gender | state | has_insurance | visited_last_month | payment_method | preferred_doctor | disease_diagnosed | medication_prescribed | type_of_appointment | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| patient_age | 1.000 | -0.008 | -0.091 | 0.036 | 0.085 | 0.080 | -0.080 | -0.044 | 0.031 | -0.011 | 0.108 | 0.000 | 0.000 | 0.213 | 0.000 | 0.000 | 0.000 | 0.000 | 0.183 |
| average_hr | -0.008 | 1.000 | -0.059 | -0.044 | 0.098 | 0.018 | 0.086 | 0.028 | -0.001 | -0.018 | 0.091 | 0.000 | 0.000 | 0.162 | 0.000 | 0.013 | 0.000 | 0.066 | 0.000 |
| average_bp | -0.091 | -0.059 | 1.000 | -0.053 | 0.058 | -0.107 | -0.009 | 0.007 | 0.023 | -0.083 | 0.072 | 0.016 | 0.158 | 0.000 | 0.000 | 0.052 | 0.000 | 0.037 | 0.062 |
| height_in_cm | 0.036 | -0.044 | -0.053 | 1.000 | -0.030 | -0.000 | -0.043 | 0.022 | 0.021 | 0.046 | 0.000 | 0.103 | 0.000 | 0.126 | 0.000 | 0.000 | 0.000 | 0.097 | 0.093 |
| weight_in_kg | 0.085 | 0.098 | 0.058 | -0.030 | 1.000 | 0.076 | 0.081 | -0.049 | 0.002 | -0.030 | 0.000 | 0.032 | 0.000 | 0.000 | 0.097 | 0.000 | 0.114 | 0.000 | 0.030 |
| payment_due | 0.080 | 0.018 | -0.107 | -0.000 | 0.076 | 1.000 | -0.007 | -0.019 | 0.045 | 0.008 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| last_visit_in_days_ago | -0.080 | 0.086 | -0.009 | -0.043 | 0.081 | -0.007 | 1.000 | 0.009 | 0.025 | 0.007 | 0.112 | 0.000 | 0.000 | 0.000 | 0.165 | 0.000 | 0.000 | 0.000 | 0.107 |
| visit_duration_in_mins | -0.044 | 0.028 | 0.007 | 0.022 | -0.049 | -0.019 | 0.009 | 1.000 | 0.022 | 0.046 | 0.092 | 0.106 | 0.000 | 0.174 | 0.000 | 0.000 | 0.000 | 0.132 | 0.000 |
| number_of_tests | 0.031 | -0.001 | 0.023 | 0.021 | 0.002 | 0.045 | 0.025 | 0.022 | 1.000 | -0.039 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.055 | 0.085 | 0.073 |
| prescription_cost | -0.011 | -0.018 | -0.083 | 0.046 | -0.030 | 0.008 | 0.007 | 0.046 | -0.039 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| gender | 0.108 | 0.091 | 0.072 | 0.000 | 0.000 | 1.000 | 0.112 | 0.092 | 0.000 | 1.000 | 1.000 | 0.099 | 0.066 | 0.000 | 0.000 | 0.066 | 0.000 | 0.000 | 0.059 |
| state | 0.000 | 0.000 | 0.016 | 0.103 | 0.032 | 1.000 | 0.000 | 0.106 | 0.000 | 1.000 | 0.099 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.144 |
| has_insurance | 0.000 | 0.000 | 0.158 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.066 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| visited_last_month | 0.213 | 0.162 | 0.000 | 0.126 | 0.000 | 1.000 | 0.000 | 0.174 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.035 | 0.000 | 0.000 | 0.103 | 0.000 |
| payment_method | 0.000 | 0.000 | 0.000 | 0.000 | 0.097 | 1.000 | 0.165 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.035 | 1.000 | 0.024 | 0.047 | 0.000 | 0.000 |
| preferred_doctor | 0.000 | 0.013 | 0.052 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.066 | 0.000 | 0.000 | 0.000 | 0.024 | 1.000 | 0.000 | 0.000 | 0.000 |
| disease_diagnosed | 0.000 | 0.000 | 0.000 | 0.000 | 0.114 | 1.000 | 0.000 | 0.000 | 0.055 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.047 | 0.000 | 1.000 | 0.000 | 0.000 |
| medication_prescribed | 0.000 | 0.066 | 0.037 | 0.097 | 0.000 | 1.000 | 0.000 | 0.132 | 0.085 | 1.000 | 0.000 | 0.000 | 0.000 | 0.103 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 |
| type_of_appointment | 0.183 | 0.000 | 0.062 | 0.093 | 0.030 | 1.000 | 0.107 | 0.000 | 0.073 | 1.000 | 0.059 | 0.144 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| patient_age | gender | city | state | has_insurance | visited_last_month | payment_method | preferred_doctor | disease_diagnosed | medication_prescribed | type_of_appointment | average_hr | average_bp | height_in_cm | weight_in_kg | payment_due | last_visit_in_days_ago | visit_duration_in_mins | number_of_tests | prescription_cost | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79614 | 18 | Male | North Julieland | Vermont | Yes | No | Cash | Dr. Johnson | None | Med_B | Emergency | 57 | 107 | 188 | 63 | 398.8645541757141 | 177 | 11 | 5 | 108.42863666565667 |
| 32210 | 56 | Male | Emmatown | Connecticut | No | Yes | Card | Dr. Williams | Flu | Med_A | Emergency | 70 | 113 | 177 | 84 | 411.9440561268056 | 189 | 19 | 5 | 78.68179417044135 |
| 53078 | 71 | Female | South Melissa | Oregon | Yes | Yes | Cash | Dr. Brown | Covid-19 | Med_B | General | 90 | 118 | 148 | 90 | 43.61179093556367 | 180 | 12 | 6 | 23.316717612185627 |
| 71976 | 60 | Male | Hamptontown | North Dakota | Yes | Yes | Card | Dr. Brown | Cold | Med_C | Follow-Up | 69 | 122 | 171 | 51 | 282.38242639884754 | 198 | 32 | 4 | 70.43744427899895 |
| 20034 | 53 | Male | North Sierraview | Maryland | Yes | Yes | Insurance | Dr. Brown | Covid-19 | Med_D | Follow-Up | 83 | 95 | 180 | 76 | 447.5440119706905 | 179 | 116 | 4 | 96.55864008886802 |
| 89298 | 18 | Female | Natalieview | North Carolina | Yes | No | Cash | Dr. Jones | Flu | Med_B | Follow-Up | 83 | 102 | 167 | 64 | 124.92829141323325 | 174 | 76 | 4 | 93.04285175289122 |
| 25577 | 48 | Male | South Danielshire | Texas | No | Yes | Cash | Dr. Johnson | None | Med_C | Emergency | 82 | 114 | 184 | 65 | 166.74960062590048 | 167 | 106 | 4 | 124.45599875890643 |
| 76842 | 18 | Female | New Brucehaven | Alabama | Yes | Yes | Insurance | Dr. Johnson | Flu | Med_A | Follow-Up | 74 | 96 | 176 | 69 | 332.2616262046932 | 178 | 69 | 2 | 14.630766509170389 |
| 11155 | 72 | Male | Port Austin | Oregon | No | Yes | Insurance | Dr. Williams | Cold | Med_E | Emergency | 88 | 93 | 190 | 40 | 300.97057250634936 | 182 | 41 | 6 | 24.859176055465877 |
| 44322 | 49 | Female | New Danielmouth | Colorado | Yes | Yes | Insurance | Dr. Brown | Covid-19 | Med_D | Follow-Up | 78 | 101 | 184 | 77 | 421.96075797553704 | 173 | 67 | 4 | 148.05619672366677 |
| patient_age | gender | city | state | has_insurance | visited_last_month | payment_method | preferred_doctor | disease_diagnosed | medication_prescribed | type_of_appointment | average_hr | average_bp | height_in_cm | weight_in_kg | payment_due | last_visit_in_days_ago | visit_duration_in_mins | number_of_tests | prescription_cost | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82286 | 49 | Male | Bakerland | Louisiana | No | Yes | Insurance | Dr. Smith | None | Med_B | Follow-Up | 78 | 119 | 174 | 93 | 35.980593513037896 | 195 | 120 | 3 | 142.44586066018564 |
| 26813 | 36 | Male | Ramirezberg | Connecticut | No | Yes | Insurance | Dr. Brown | Flu | Med_B | Specialist | 88 | 101 | 177 | 57 | 118.99967866444588 | 169 | 100 | 3 | 64.75135045734744 |
| 37366 | 61 | Male | South Mary | Texas | No | Yes | Card | Dr. Williams | Covid-19 | Med_A | General | 69 | 129 | 175 | 58 | 399.73410666951526 | 177 | 119 | 3 | 22.586418362839872 |
| 38084 | 45 | Female | Tracyland | South Dakota | No | Yes | Cash | Dr. Williams | Cold | Med_A | Specialist | 70 | 98 | 170 | 72 | 164.11131191372542 | 176 | 110 | 5 | 55.921570929847505 |
| 12153 | 24 | Female | East Garrettfurt | Hawaii | No | Yes | Card | Dr. Brown | None | Med_C | Follow-Up | 82 | 133 | 182 | 61 | 156.0323290713525 | 178 | 51 | 6 | 70.93119082573236 |
| 39251 | 28 | Male | Kristinport | Oregon | No | No | Cash | Dr. Smith | Flu | Med_E | Emergency | 93 | 114 | 181 | 62 | 217.58532937799342 | 189 | 56 | 6 | 79.70378443819558 |
| 92538 | 63 | Female | East Stephen | South Carolina | No | Yes | Cash | Dr. Brown | Flu | Med_E | General | 78 | 114 | 168 | 86 | 108.21351687700553 | 174 | 43 | 3 | 52.504873409025976 |
| 71819 | 73 | Female | Justinborough | Hawaii | Yes | No | Insurance | Dr. Smith | Flu | Med_E | Follow-Up | 68 | 122 | 164 | 77 | 396.88584817653697 | 173 | 50 | 3 | 135.53601342117057 |
| 8975 | 40 | Female | Ericberg | North Dakota | Yes | Yes | Insurance | Dr. Brown | Flu | Med_C | Specialist | 68 | 118 | 176 | 64 | 154.85587387284588 | 211 | 101 | 6 | 99.23476699803356 |
| 22158 | 53 | Male | Morenoburgh | South Carolina | No | No | Cash | Dr. Johnson | Allergy | Med_B | Follow-Up | 80 | 120 | 182 | 78 | 43.1199598788945 | 168 | 30 | 3 | 21.948476019001635 |